Amazon Business Intelligence Engineer Prime Video US 

United States, Washington, Seattle 

729723960

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.Key job responsibilities
• Define and deliver reporting that supports the analytical needs of internal business leaders.
• Use analytical insights to help increase teams effectiveness against key strategic goals.
• Instrument measurement of key KPIs for the organization.
• Serve as business lead for the internal reporting.
• Provide business requirements across all business reports.
• Ensure clear communication and coordination across the business, finance and technical teams.A day in the life
You will work with Marketing Managers, Audience Insights Specialists, Product Managers, Data Engineers, Data Scientists, and Economists. You will maintain pipelines and dashboards central to the decision-making of the Marketing organization. You will perform deep dives and provide specific recommendations related to our customers' interactions with marketing and Prime Video content.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling